贾子钰，男，中共党员，博士，脑网络组研究中心助理研究员。主要研究方向为脑机接口与人工智能。

近年来在脑机接口与睡眠分期研究领域取得重要进展，以第一作者在IEEE Transactions on Neural Systems and Rehabilitation Engineering、IEEE Transactions on Big Data、Science China Information Sciences、IEEE Sensors Journal以及ACM SIGKDD、Neural Information Processing Systems等国际顶级期刊和会议发表论文多篇，其中1篇入选高被引论文。主持国家自然科学基金项目1项，入选北京市高创青年人才计划。

一、主持的部分科研项目

[1] 国家自然科学基金, 基于脑电信号判别性时空特征的睡眠阶段分类, 2024 年 1 月 – 2026 年 12 月

[2] 北京市科技新星交叉项目, 人工耳蜗植入儿童干预效果预测模型构建的关键技术研究, 2025 年 10 月 – 2028 年 9 月

二、近年来发表的主要论文

[1] Jia, Z(贾子钰)., Lin, Y., Wang, J., et al. GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification. In: International Joint Conference on Artificial Intelligence (IJCAI), 2020. (Oral, CCF-A; Citation 200+)

[2] Jia, Z(贾子钰)., Wang, H., Liu, Y., et al. Mutual Distillation Extracting Spatial-Temporal Knowledge for Lightweight Multi-Channel Sleep Stage Classification. In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. (Oral, CCF-A)

[3] Jia, Z(贾子钰)., Lin, Y., Wang, J., et al. Multi-view Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification. IEEE Transactions on Neural Systems and Reha bilitation Engineering, 2021. (Citation 200+)

[4] Jia, Z(贾子钰)., Lin, Y., Wang, J., et al. SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging. In: International Joint Conference on Artificial Intelligence (IJCAI), 2021. (Oral, CCF-A; Citation 100+)

[5] Jia, Z(贾子钰)., Lin, Y., Cai, X., et al. SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition. In: ACM International Conference on Multimedia (ACM MM), 2020. (Oral, CCF-A; Citation 150+)

[6] Jia, Z(贾子钰)., Cai, X., Jiao, Z. Multi-modal Physiological Signals Based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging. IEEE Sensors Journal, 2022. (JCR: Q1, ESI Highly Cited)

[7]Liu, Y., Jia, Z(贾子钰).*, et al. EmotionKD: A Cross-Modal Knowledge Distillation Framework for Enhanced Unimodal Emotion Recognition. ACM International Conference on Multimedia, 2024.

[8] Liu, Y., Jia, Z(贾子钰).*, BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging. In: International Conference on Learning Representations (ICLR), 2023.

[9] C. Liu, Z. Jia(贾子钰)*, et al., VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition. In: ICLR, 2024.

三、已授权发明专利

[1]基于脑电信号因果关系的自动睡眠分期方法 —专利号CN109758145B,2021年5月

[2] 基于转移熵的机场航班延误因果关系挖掘方法 —专利号CN109558436B,2023年3月

[3] 基于图卷积神经网络的睡眠阶段分类系统 —计算机软件著作权登记号2021SR1967246,2021

[4] 基于卷积神经网络的自动睡眠阶段分类系统 —计算机软件著作权登记号2020SR0217756,2020

[5] 基于深度神经网络的P300脑电信号分类系统 —计算机软件著作权登记号2021SR1967238,2021

邮箱：jia.ziyu@outlook.com